STAT 330 - Introduction to Linear Models

Extension of the basic statistical inference procedures of STAT 190 - Basic Statistics to more than two means by introducing multi-level (one-way ANOVA) and multifactor designs incorporating both fixed and random effects. Additionally, concepts related to statistical inference of the simple linear regression model will be introduced culminating in the Analysis of Covariance model.

Credit(s): 3
Prerequisite(s): STAT 190 - Basic Statistics OR STAT 290 - Statistics OR equivalent.
Disciplinary Perspective(s):
STEM: Other
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
None